Instructions to use answerdotai/ModernBERT-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use answerdotai/ModernBERT-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="answerdotai/ModernBERT-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("answerdotai/ModernBERT-large") model = AutoModelForMaskedLM.from_pretrained("answerdotai/ModernBERT-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from answerdotai/ModernBERT-large: direct link, hf CLI and curl.
- Browser
- Download file 1.79 GB
-
https://huggingface.co/answerdotai/ModernBERT-large/resolve/cb6a582e9ace3d82d84dd5fdcf9408ddaebfdb3b/pytorch_model.bin
- Command line
-
hf download hf://answerdotai/ModernBERT-large@cb6a582e9ace3d82d84dd5fdcf9408ddaebfdb3b/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/answerdotai/ModernBERT-large/resolve/cb6a582e9ace3d82d84dd5fdcf9408ddaebfdb3b/pytorch_model.bin
1.79 GB
- Xet hash:
- 2d3acebad706b84f069a329ce3caaa8073312a4f59b59f37b744d26f30646646
- Size of remote file:
- 1.79 GB
- SHA256:
- 851137ca18652d7aa5ad92503c10a985e5634c067de9a789e8c91e9b1952f486
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